One answer across every business unit.
AI coworkers for the group centre. They pull the numbers from each company’s systems, resolve routine employee requests, and clear invoices and contracts, without asking any business unit to change its tools.
Book a demo- Live in four weeks, on the systems each company already runs
- Access by role: each person sees only their own companies
- Hosted where you choose, including on-premise
Book a proof of concept
Two hours with your leadership to start. A working agent on your data in four weeks.
45% of finance planning time goes on collecting and checking data.
FP&A Trends Group, 2024$22 vs $2 a service-desk ticket against one resolved by self-service.
MetricNet, 2020$2.78 vs $12.88 per invoice: the best finance teams against the rest.
Ardent Partners, 202474% of companies have yet to show tangible value from AI.
BCG, 2024What changes at the group centre.
- Reporting on request
- Leadership asks for a number across business units and gets it the same day, with the source behind every figure.
- Routine requests resolved
- IT, access and policy requests are handled from start to finish. Only the exceptions reach your service desk.
- One governed layer
- Every company’s numbers, policies and contracts in one place, with access set by role.

Four workflows we deploy for holding groups.
Each is a named workflow with an owner and a target, not a general assistant.
Finance
Group reporting coworker
Pulls KPIs from each business unit’s ERP and spreadsheets, applies one definition to all of them, and answers leadership’s questions with the source behind every figure.
of finance planning time goes on collecting and validating data
FP&A Trends Group, 2024
shorter monthly close for accountants using generative AI
Stanford GSB, 2025
IT and HR
Employee request resolution
Resolves routine IT, access and policy requests in the conversation: password resets, permissions, leave rules, expense policy. It takes the approved action and passes the rest to a person with the context attached.
average cost of a service-desk ticket against a self-service one
MetricNet, 2020
more issues resolved per hour by support staff with an AI assistant
NBER, 2023
Finance operations
Invoice processing
Reads incoming invoices, matches each to its purchase order and receipt, codes it, and sends only the mismatches to a person.
per invoice for the best finance teams, against $12.88 for the rest
Ardent Partners, 2024
to process an invoice for the best teams, against 17.4 days
Ardent Partners, 2024
Legal and procurement
Contract review
Reads supplier and customer contracts against your playbook, flags the clauses that depart from it, and tracks renewals, price changes and obligations after signing.
of contract value is lost on average through weak contract management
World Commerce & Contracting, 2026
of contract value separates firms that manage contracts well from their peers
World Commerce & Contracting, 2025
The figures are published research and industry benchmarks, not results from our own deployments. Sources:
- FP&A Trends Group, FP&A Trends Survey 2024 (2024)
- Stanford GSB, Human + AI in Accounting: Early Evidence from the Field (2025)
- MetricNet, Metrics Unleashed: Shift Left (2020)
- NBER, Generative AI at Work (2023)
- Ardent Partners, State of ePayables 2024 (2024)
- World Commerce & Contracting, From value leakage to better outcomes (2026)
- World Commerce & Contracting, Smarter Contracts, Better Margins (2025)
- BCG, Where’s the Value in AI? (2024)
Proof: Kolektif House.
Not a holding group, but the same kind of work: agents wired into CRM, spreadsheets, email and core systems, with management reporting automated.
- 1Explore
- As-is processes analysed; repetitive, high-volume work identified; escalations, approvals and success measures captured.
- 2Deploy
- Sales, data and customer-experience agents wired into CRM, spreadsheets, email and core systems; reporting automated.
- 3Expand
- Support from chat to email and voice; outbound sales agents; live funnel analysis and data-quality controls.
customer interactions handled
less manual reporting effort
hours saved
The platform underneath.
- Inside your systems
- Agents read and act in each company’s ERP, HR and service tools as they are. No business unit has to migrate or standardise first.
- One company context
- Every unit’s numbers, policies and definitions in one governed layer, so the same question gets the same answer everywhere.
- Governed by you
- Access follows your SSO, sensitive actions wait for a person, personal data is masked before any model call, and every step is logged.
- Any model, hosted where you choose
- Frontier, open-weight or on-premise models, in our cloud, your cloud or on your own hardware.
Live in four weeks.
Our engineers and a product lead work inside your environment until the first workflow pays, then hand it to your teams.
- Two hours with your leadership
- We map where agents pay in your business and agree the first workflow.
- A business case in ten days
- An opportunity map, the numbers for the first workflow, and a deployment proposal.
- A working agent in four weeks
- A reporting coworker for one business unit, built on your own systems and data by our engineers, with your team alongside.
- Your team takes over
- Your people run what is live and build the next workflow; we review, then step back.
Questions from group leadership.
No. Agents connect to each business unit’s ERP, HR and service tools as they are. Standardising them is not a precondition.

Next step
Start with one business unit’s reporting.
Two hours with your leadership. Ten days to a business case. Four weeks to a working agent on your data. No commitment.